Peiyi Shen

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 168 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Peiyi Shen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Karen Simonyan
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. Yann LeCun
  7. Andrew Zisserman
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Jun Wan

Who trusts Peiyi Shen overall

  1. Pichao Wang
  2. Yilun Du

Papers from Peiyi Shen's perspective

Ordered by how strongly the researchers Peiyi Shen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers